code: def embedding():
      # logic for parsing in - calling - parsing out model embedding calls
      pass
  
file_path: litellm/litellm/llms/nlp_cloud.py
imports: import os, types
  import json
  from enum import Enum
  import requests
  import time
  from typing import Callable, Optional
  import litellm
  from litellm.utils import ModelResponse, Usage
label_desc: Use image node_id 4 for calling a global function with example usage: embedding() without return types